Overview

Dataset statistics

Number of variables64
Number of observations1223
Missing cells38689
Missing cells (%)49.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory665.4 KiB
Average record size in memory557.1 B

Variable types

Numeric21
Categorical15
Text6
Unsupported21
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123072

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
상세영업상태명 is highly imbalanced (51.0%)Imbalance
지역구분명 is highly imbalanced (68.1%)Imbalance
주변환경명 is highly imbalanced (72.8%)Imbalance
건물용도명 is highly imbalanced (71.4%)Imbalance
영문상호주소 is highly imbalanced (93.7%)Imbalance
기획여행보험시작일자 is highly imbalanced (99.0%)Imbalance
기획여행보험종료일자 is highly imbalanced (99.0%)Imbalance
인허가취소일자 has 1177 (96.2%) missing valuesMissing
폐업일자 has 625 (51.1%) missing valuesMissing
휴업시작일자 has 1213 (99.2%) missing valuesMissing
휴업종료일자 has 1213 (99.2%) missing valuesMissing
재개업일자 has 1223 (100.0%) missing valuesMissing
소재지전화 has 289 (23.6%) missing valuesMissing
소재지면적 has 1223 (100.0%) missing valuesMissing
소재지우편번호 has 549 (44.9%) missing valuesMissing
도로명전체주소 has 56 (4.6%) missing valuesMissing
도로명우편번호 has 400 (32.7%) missing valuesMissing
업태구분명 has 1223 (100.0%) missing valuesMissing
좌표정보(x) has 36 (2.9%) missing valuesMissing
좌표정보(y) has 36 (2.9%) missing valuesMissing
총층수 has 1008 (82.4%) missing valuesMissing
제작취급품목내용 has 1223 (100.0%) missing valuesMissing
지상층수 has 986 (80.6%) missing valuesMissing
지하층수 has 1100 (89.9%) missing valuesMissing
객실수 has 1223 (100.0%) missing valuesMissing
건축연면적 has 1223 (100.0%) missing valuesMissing
영문상호명 has 1195 (97.7%) missing valuesMissing
선박총톤수 has 1223 (100.0%) missing valuesMissing
선박척수 has 1223 (100.0%) missing valuesMissing
선박제원 has 1223 (100.0%) missing valuesMissing
무대면적 has 1223 (100.0%) missing valuesMissing
좌석수 has 1223 (100.0%) missing valuesMissing
기념품종류 has 1223 (100.0%) missing valuesMissing
회의실별동시수용인원 has 1223 (100.0%) missing valuesMissing
시설면적 has 924 (75.6%) missing valuesMissing
놀이기구수내역 has 1223 (100.0%) missing valuesMissing
놀이시설수 has 1223 (100.0%) missing valuesMissing
방송시설유무 has 1223 (100.0%) missing valuesMissing
발전시설유무 has 1223 (100.0%) missing valuesMissing
의무실유무 has 1223 (100.0%) missing valuesMissing
안내소유무 has 1223 (100.0%) missing valuesMissing
자본금 has 428 (35.0%) missing valuesMissing
보험시작일자 has 424 (34.7%) missing valuesMissing
보험종료일자 has 423 (34.6%) missing valuesMissing
부대시설내역 has 1223 (100.0%) missing valuesMissing
시설규모 has 924 (75.6%) missing valuesMissing
Unnamed: 63 has 1223 (100.0%) missing valuesMissing
번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 17 (1.4%) zerosZeros
지상층수 has 16 (1.3%) zerosZeros
지하층수 has 26 (2.1%) zerosZeros
시설면적 has 18 (1.5%) zerosZeros
시설규모 has 18 (1.5%) zerosZeros

Reproduction

Analysis started2024-04-16 06:51:13.657907
Analysis finished2024-04-16 06:51:14.920177
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1223
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean612
Minimum1
Maximum1223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:14.978449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile62.1
Q1306.5
median612
Q3917.5
95-th percentile1161.9
Maximum1223
Range1222
Interquartile range (IQR)611

Descriptive statistics

Standard deviation353.194
Coefficient of variation (CV)0.57711438
Kurtosis-1.2
Mean612
Median Absolute Deviation (MAD)306
Skewness0
Sum748476
Variance124746
MonotonicityStrictly increasing
2024-04-16T15:51:15.086308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
814 1
 
0.1%
821 1
 
0.1%
820 1
 
0.1%
819 1
 
0.1%
818 1
 
0.1%
817 1
 
0.1%
816 1
 
0.1%
815 1
 
0.1%
813 1
 
0.1%
Other values (1213) 1213
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1223 1
0.1%
1222 1
0.1%
1221 1
0.1%
1220 1
0.1%
1219 1
0.1%
1218 1
0.1%
1217 1
0.1%
1216 1
0.1%
1215 1
0.1%
1214 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
국내여행업
1223 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국내여행업
2nd row국내여행업
3rd row국내여행업
4th row국내여행업
5th row국내여행업

Common Values

ValueCountFrequency (%)
국내여행업 1223
100.0%

Length

2024-04-16T15:51:15.184582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:15.264163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 1223
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
03_12_01_P
1223 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_12_01_P
2nd row03_12_01_P
3rd row03_12_01_P
4th row03_12_01_P
5th row03_12_01_P

Common Values

ValueCountFrequency (%)
03_12_01_P 1223
100.0%

Length

2024-04-16T15:51:15.363845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:15.457911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_12_01_p 1223
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3310359.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:15.548034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3300000
Q33340000
95-th percentile3380000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation41116.195
Coefficient of variation (CV)0.012420461
Kurtosis-0.85635937
Mean3310359.8
Median Absolute Deviation (MAD)30000
Skewness0.36110872
Sum4.04857 × 109
Variance1.6905415 × 109
MonotonicityNot monotonic
2024-04-16T15:51:15.637362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 264
21.6%
3250000 143
11.7%
3330000 138
11.3%
3270000 128
10.5%
3300000 102
 
8.3%
3370000 95
 
7.8%
3310000 71
 
5.8%
3350000 65
 
5.3%
3380000 57
 
4.7%
3340000 39
 
3.2%
Other values (6) 121
9.9%
ValueCountFrequency (%)
3250000 143
11.7%
3260000 12
 
1.0%
3270000 128
10.5%
3280000 11
 
0.9%
3290000 264
21.6%
3300000 102
 
8.3%
3310000 71
 
5.8%
3320000 33
 
2.7%
3330000 138
11.3%
3340000 39
 
3.2%
ValueCountFrequency (%)
3400000 13
 
1.1%
3390000 35
 
2.9%
3380000 57
4.7%
3370000 95
7.8%
3360000 17
 
1.4%
3350000 65
5.3%
3340000 39
 
3.2%
3330000 138
11.3%
3320000 33
 
2.7%
3310000 71
5.8%
Distinct352
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
2024-04-16T15:51:15.796738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters24460
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)9.2%

Sample

1st rowCDFI2260012019000004
2nd rowCDFI2260012007000013
3rd rowCDFI2260012017000008
4th rowCDFI2260012017000009
5th rowCDFI2260012019000002
ValueCountFrequency (%)
cdfi2260012011000001 15
 
1.2%
cdfi2260012019000001 15
 
1.2%
cdfi2260012020000001 14
 
1.1%
cdfi2260012019000002 14
 
1.1%
cdfi2260012016000001 14
 
1.1%
cdfi2260012017000002 12
 
1.0%
cdfi2260012001000001 12
 
1.0%
cdfi2260012020000002 12
 
1.0%
cdfi2260012016000002 12
 
1.0%
cdfi2260012018000002 12
 
1.0%
Other values (342) 1091
89.2%
2024-04-16T15:51:16.050444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10060
41.1%
2 3950
 
16.1%
1 2524
 
10.3%
6 1459
 
6.0%
C 1223
 
5.0%
D 1223
 
5.0%
F 1223
 
5.0%
I 1223
 
5.0%
9 440
 
1.8%
4 245
 
1.0%
Other values (4) 890
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19568
80.0%
Uppercase Letter 4892
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10060
51.4%
2 3950
 
20.2%
1 2524
 
12.9%
6 1459
 
7.5%
9 440
 
2.2%
4 245
 
1.3%
5 242
 
1.2%
3 238
 
1.2%
7 232
 
1.2%
8 178
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 1223
25.0%
D 1223
25.0%
F 1223
25.0%
I 1223
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19568
80.0%
Latin 4892
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10060
51.4%
2 3950
 
20.2%
1 2524
 
12.9%
6 1459
 
7.5%
9 440
 
2.2%
4 245
 
1.3%
5 242
 
1.2%
3 238
 
1.2%
7 232
 
1.2%
8 178
 
0.9%
Latin
ValueCountFrequency (%)
C 1223
25.0%
D 1223
25.0%
F 1223
25.0%
I 1223
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10060
41.1%
2 3950
 
16.1%
1 2524
 
10.3%
6 1459
 
6.0%
C 1223
 
5.0%
D 1223
 
5.0%
F 1223
 
5.0%
I 1223
 
5.0%
9 440
 
1.8%
4 245
 
1.0%
Other values (4) 890
 
3.6%

인허가일자
Real number (ℝ)

Distinct1079
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20093848
Minimum19840924
Maximum20210222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:16.166928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19840924
5-th percentile19970415
Q120041014
median20100916
Q320151006
95-th percentile20190829
Maximum20210222
Range369298
Interquartile range (IQR)109992

Descriptive statistics

Standard deviation71494.631
Coefficient of variation (CV)0.0035580359
Kurtosis-0.45906495
Mean20093848
Median Absolute Deviation (MAD)50501
Skewness-0.48107018
Sum2.4574776 × 1010
Variance5.1114822 × 109
MonotonicityNot monotonic
2024-04-16T15:51:16.279961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190328 5
 
0.4%
20051123 4
 
0.3%
20160729 3
 
0.2%
20151006 3
 
0.2%
20020302 3
 
0.2%
20160831 3
 
0.2%
20060508 3
 
0.2%
20110310 3
 
0.2%
20000323 3
 
0.2%
20160129 3
 
0.2%
Other values (1069) 1190
97.3%
ValueCountFrequency (%)
19840924 1
0.1%
19861025 1
0.1%
19890220 1
0.1%
19890710 1
0.1%
19900313 1
0.1%
19900802 1
0.1%
19910325 1
0.1%
19910423 1
0.1%
19910918 1
0.1%
19911001 1
0.1%
ValueCountFrequency (%)
20210222 1
0.1%
20210205 1
0.1%
20210113 1
0.1%
20210112 1
0.1%
20210107 1
0.1%
20201224 1
0.1%
20201218 1
0.1%
20201127 1
0.1%
20201123 2
0.2%
20201109 1
0.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)87.0%
Missing1177
Missing (%)96.2%
Infinite0
Infinite (%)0.0%
Mean20142395
Minimum20030822
Maximum20200226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:16.386813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030822
5-th percentile20061065
Q120110712
median20160576
Q320171224
95-th percentile20190515
Maximum20200226
Range169404
Interquartile range (IQR)60512

Descriptive statistics

Standard deviation46665.128
Coefficient of variation (CV)0.0023167616
Kurtosis-0.44030539
Mean20142395
Median Absolute Deviation (MAD)24991
Skewness-0.83392341
Sum9.2655018 × 108
Variance2.1776342 × 109
MonotonicityNot monotonic
2024-04-16T15:51:16.509900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20190305 3
 
0.2%
20190515 2
 
0.2%
20141007 2
 
0.2%
20170424 2
 
0.2%
20170705 2
 
0.2%
20070123 1
 
0.1%
20080813 1
 
0.1%
20040902 1
 
0.1%
20030822 1
 
0.1%
20151117 1
 
0.1%
Other values (30) 30
 
2.5%
(Missing) 1177
96.2%
ValueCountFrequency (%)
20030822 1
0.1%
20040902 1
0.1%
20061011 1
0.1%
20061228 1
0.1%
20070123 1
0.1%
20070510 1
0.1%
20080509 1
0.1%
20080813 1
0.1%
20090724 1
0.1%
20091007 1
0.1%
ValueCountFrequency (%)
20200226 1
 
0.1%
20200224 1
 
0.1%
20190515 2
0.2%
20190305 3
0.2%
20190213 1
 
0.1%
20180921 1
 
0.1%
20180917 1
 
0.1%
20180530 1
 
0.1%
20171229 1
 
0.1%
20171211 1
 
0.1%
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
3
594 
1
553 
4
66 
2
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row3

Common Values

ValueCountFrequency (%)
3 594
48.6%
1 553
45.2%
4 66
 
5.4%
2 10
 
0.8%

Length

2024-04-16T15:51:16.620047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:16.697334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 594
48.6%
1 553
45.2%
4 66
 
5.4%
2 10
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
폐업
594 
영업/정상
553 
취소/말소/만료/정지/중지
66 
휴업
 
10

Length

Max length14
Median length5
Mean length4.0040883
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴업
2nd row휴업
3rd row휴업
4th row휴업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 594
48.6%
영업/정상 553
45.2%
취소/말소/만료/정지/중지 66
 
5.4%
휴업 10
 
0.8%

Length

2024-04-16T15:51:16.785589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:16.873836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 594
48.6%
영업/정상 553
45.2%
취소/말소/만료/정지/중지 66
 
5.4%
휴업 10
 
0.8%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0302535
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:16.953029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median13
Q313
95-th percentile30
Maximum35
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.1842641
Coefficient of variation (CV)0.79557723
Kurtosis2.2206145
Mean9.0302535
Median Absolute Deviation (MAD)10
Skewness1.3654605
Sum11044
Variance51.61365
MonotonicityNot monotonic
2024-04-16T15:51:17.029324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 594
48.6%
13 553
45.2%
31 45
 
3.7%
30 15
 
1.2%
2 10
 
0.8%
35 5
 
0.4%
33 1
 
0.1%
ValueCountFrequency (%)
2 10
 
0.8%
3 594
48.6%
13 553
45.2%
30 15
 
1.2%
31 45
 
3.7%
33 1
 
0.1%
35 5
 
0.4%
ValueCountFrequency (%)
35 5
 
0.4%
33 1
 
0.1%
31 45
 
3.7%
30 15
 
1.2%
13 553
45.2%
3 594
48.6%
2 10
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
폐업
594 
영업중
553 
등록취소
 
45
허가취소
 
15
휴업
 
10
Other values (2)
 
6

Length

Max length4
Median length3
Mean length2.5600981
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row휴업
2nd row휴업
3rd row휴업
4th row휴업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 594
48.6%
영업중 553
45.2%
등록취소 45
 
3.7%
허가취소 15
 
1.2%
휴업 10
 
0.8%
직권말소 5
 
0.4%
지정취소 1
 
0.1%

Length

2024-04-16T15:51:17.131622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:17.224992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 594
48.6%
영업중 553
45.2%
등록취소 45
 
3.7%
허가취소 15
 
1.2%
휴업 10
 
0.8%
직권말소 5
 
0.4%
지정취소 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct537
Distinct (%)89.8%
Missing625
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean20115263
Minimum19971211
Maximum20210216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:17.329145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19971211
5-th percentile20010522
Q120070143
median20120617
Q320170418
95-th percentile20200543
Maximum20210216
Range239005
Interquartile range (IQR)100275.5

Descriptive statistics

Standard deviation60365.923
Coefficient of variation (CV)0.003001001
Kurtosis-1.0400961
Mean20115263
Median Absolute Deviation (MAD)50148
Skewness-0.25696607
Sum1.2028927 × 1010
Variance3.6440447 × 109
MonotonicityNot monotonic
2024-04-16T15:51:17.437528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000111 9
 
0.7%
20001129 5
 
0.4%
20150723 3
 
0.2%
20190709 3
 
0.2%
20190630 3
 
0.2%
20110223 2
 
0.2%
20130325 2
 
0.2%
20130130 2
 
0.2%
20160801 2
 
0.2%
20100730 2
 
0.2%
Other values (527) 565
46.2%
(Missing) 625
51.1%
ValueCountFrequency (%)
19971211 1
 
0.1%
19990403 1
 
0.1%
19990408 1
 
0.1%
19990524 1
 
0.1%
19990622 1
 
0.1%
19990909 1
 
0.1%
19991104 1
 
0.1%
20000111 9
0.7%
20000128 1
 
0.1%
20000229 1
 
0.1%
ValueCountFrequency (%)
20210216 1
0.1%
20210203 1
0.1%
20210201 1
0.1%
20210127 1
0.1%
20210112 1
0.1%
20210104 1
0.1%
20201229 1
0.1%
20201221 1
0.1%
20201208 1
0.1%
20201127 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing1213
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean20188607
Minimum20130510
Maximum20210216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:17.529529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130510
5-th percentile20130686
Q120193126
median20200914
Q320207885
95-th percentile20210209
Maximum20210216
Range79706
Interquartile range (IQR)14759

Descriptive statistics

Standard deviation31101.841
Coefficient of variation (CV)0.001540564
Kurtosis1.0768799
Mean20188607
Median Absolute Deviation (MAD)9243
Skewness-1.6193075
Sum2.0188607 × 108
Variance9.673245 × 108
MonotonicityNot monotonic
2024-04-16T15:51:17.623099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20210216 1
 
0.1%
20190701 1
 
0.1%
20210113 1
 
0.1%
20200820 1
 
0.1%
20210201 1
 
0.1%
20201008 1
 
0.1%
20201201 1
 
0.1%
20200401 1
 
0.1%
20130510 1
 
0.1%
20130902 1
 
0.1%
(Missing) 1213
99.2%
ValueCountFrequency (%)
20130510 1
0.1%
20130902 1
0.1%
20190701 1
0.1%
20200401 1
0.1%
20200820 1
0.1%
20201008 1
0.1%
20201201 1
0.1%
20210113 1
0.1%
20210201 1
0.1%
20210216 1
0.1%
ValueCountFrequency (%)
20210216 1
0.1%
20210201 1
0.1%
20210113 1
0.1%
20201201 1
0.1%
20201008 1
0.1%
20200820 1
0.1%
20200401 1
0.1%
20190701 1
0.1%
20130902 1
0.1%
20130510 1
0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing1213
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean20201589
Minimum20140509
Maximum20260131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:17.720550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140509
5-th percentile20140687
Q120203051
median20210613
Q320211080
95-th percentile20242123
Maximum20260131
Range119622
Interquartile range (IQR)8028.75

Descriptive statistics

Standard deviation35904.252
Coefficient of variation (CV)0.0017772984
Kurtosis0.83249242
Mean20201589
Median Absolute Deviation (MAD)5008.5
Skewness-0.72180796
Sum2.0201589 × 108
Variance1.2891153 × 109
MonotonicityNot monotonic
2024-04-16T15:51:17.814979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20210315 1
 
0.1%
20200630 1
 
0.1%
20220113 1
 
0.1%
20210819 1
 
0.1%
20260131 1
 
0.1%
20210407 1
 
0.1%
20211130 1
 
0.1%
20210930 1
 
0.1%
20140509 1
 
0.1%
20140904 1
 
0.1%
(Missing) 1213
99.2%
ValueCountFrequency (%)
20140509 1
0.1%
20140904 1
0.1%
20200630 1
0.1%
20210315 1
0.1%
20210407 1
0.1%
20210819 1
0.1%
20210930 1
0.1%
20211130 1
0.1%
20220113 1
0.1%
20260131 1
0.1%
ValueCountFrequency (%)
20260131 1
0.1%
20220113 1
0.1%
20211130 1
0.1%
20210930 1
0.1%
20210819 1
0.1%
20210407 1
0.1%
20210315 1
0.1%
20200630 1
0.1%
20140904 1
0.1%
20140509 1
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

소재지전화
Text

MISSING 

Distinct901
Distinct (%)96.5%
Missing289
Missing (%)23.6%
Memory size9.7 KiB
2024-04-16T15:51:18.007512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.579229
Min length1

Characters and Unicode

Total characters9881
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique872 ?
Unique (%)93.4%

Sample

1st row051-241-0909,
2nd row469-7731
3rd row051-465-2356
4th row051241 0909
5th row051-464-6464
ValueCountFrequency (%)
051 35
 
3.5%
5
 
0.5%
740-6353 3
 
0.3%
0517431159 2
 
0.2%
809 2
 
0.2%
261 2
 
0.2%
051-266-5600 2
 
0.2%
702-8260 2
 
0.2%
051-464-8899 2
 
0.2%
051-207-2211 2
 
0.2%
Other values (920) 942
94.3%
2024-04-16T15:51:18.314841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1558
15.8%
- 1395
14.1%
1 1322
13.4%
5 1288
13.0%
6 745
7.5%
8 710
7.2%
4 674
6.8%
2 627
6.3%
7 602
 
6.1%
3 481
 
4.9%
Other values (6) 479
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8390
84.9%
Dash Punctuation 1395
 
14.1%
Space Separator 65
 
0.7%
Close Punctuation 16
 
0.2%
Other Punctuation 11
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1558
18.6%
1 1322
15.8%
5 1288
15.4%
6 745
8.9%
8 710
8.5%
4 674
8.0%
2 627
7.5%
7 602
 
7.2%
3 481
 
5.7%
9 383
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
, 4
36.4%
Dash Punctuation
ValueCountFrequency (%)
- 1395
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9881
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1558
15.8%
- 1395
14.1%
1 1322
13.4%
5 1288
13.0%
6 745
7.5%
8 710
7.2%
4 674
6.8%
2 627
6.3%
7 602
 
6.1%
3 481
 
4.9%
Other values (6) 479
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1558
15.8%
- 1395
14.1%
1 1322
13.4%
5 1288
13.0%
6 745
7.5%
8 710
7.2%
4 674
6.8%
2 627
6.3%
7 602
 
6.1%
3 481
 
4.9%
Other values (6) 479
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct312
Distinct (%)46.3%
Missing549
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean609791.78
Minimum600011
Maximum701814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:18.431475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile600100
Q1602833.5
median611802
Q3614820.75
95-th percentile616852
Maximum701814
Range101803
Interquartile range (IQR)11987.25

Descriptive statistics

Standard deviation7763.1045
Coefficient of variation (CV)0.012730746
Kurtosis49.395491
Mean609791.78
Median Absolute Deviation (MAD)3055.5
Skewness4.6233238
Sum4.1099966 × 108
Variance60265791
MonotonicityNot monotonic
2024-04-16T15:51:18.547265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614854 17
 
1.4%
600815 17
 
1.4%
614849 11
 
0.9%
614844 11
 
0.9%
607827 10
 
0.8%
601839 10
 
0.8%
612824 10
 
0.8%
601715 9
 
0.7%
614828 9
 
0.7%
607829 8
 
0.7%
Other values (302) 562
46.0%
(Missing) 549
44.9%
ValueCountFrequency (%)
600011 1
 
0.1%
600012 2
 
0.2%
600013 4
0.3%
600014 6
0.5%
600015 3
0.2%
600016 3
0.2%
600022 3
0.2%
600023 1
 
0.1%
600031 1
 
0.1%
600032 1
 
0.1%
ValueCountFrequency (%)
701814 1
0.1%
682818 1
0.1%
680828 1
0.1%
619952 1
0.1%
619906 1
0.1%
619905 1
0.1%
619903 1
0.1%
618814 1
0.1%
618708 1
0.1%
618200 1
0.1%
Distinct1162
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
2024-04-16T15:51:18.803757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length26.108749
Min length12

Characters and Unicode

Total characters31931
Distinct characters381
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1110 ?
Unique (%)90.8%

Sample

1st row부산광역시 중구 남포동4가 44-3
2nd row부산광역시 중구 중앙동4가 53-30
3rd row부산광역시 중구 영주동 214-10
4th row부산광역시 중구 중앙동4가 23-1 1303호
5th row부산광역시 중구 남포동4가 44-3번지
ValueCountFrequency (%)
부산광역시 1220
 
20.0%
부산진구 264
 
4.3%
중구 143
 
2.3%
해운대구 138
 
2.3%
동구 129
 
2.1%
동래구 103
 
1.7%
부전동 96
 
1.6%
연제구 95
 
1.6%
초량동 91
 
1.5%
남구 70
 
1.1%
Other values (1773) 3749
61.5%
2024-04-16T15:51:19.188933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4875
 
15.3%
1661
 
5.2%
1606
 
5.0%
1 1592
 
5.0%
1567
 
4.9%
1262
 
4.0%
1254
 
3.9%
1235
 
3.9%
1228
 
3.8%
- 1075
 
3.4%
Other values (371) 14576
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18901
59.2%
Decimal Number 6836
 
21.4%
Space Separator 4875
 
15.3%
Dash Punctuation 1075
 
3.4%
Uppercase Letter 128
 
0.4%
Lowercase Letter 70
 
0.2%
Close Punctuation 17
 
0.1%
Open Punctuation 17
 
0.1%
Other Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1661
 
8.8%
1606
 
8.5%
1567
 
8.3%
1262
 
6.7%
1254
 
6.6%
1235
 
6.5%
1228
 
6.5%
857
 
4.5%
818
 
4.3%
378
 
2.0%
Other values (317) 7035
37.2%
Uppercase Letter
ValueCountFrequency (%)
S 22
17.2%
T 14
10.9%
K 13
10.2%
A 11
8.6%
B 11
8.6%
C 8
 
6.2%
E 7
 
5.5%
I 6
 
4.7%
O 6
 
4.7%
H 5
 
3.9%
Other values (10) 25
19.5%
Lowercase Letter
ValueCountFrequency (%)
e 15
21.4%
o 9
12.9%
l 6
 
8.6%
i 5
 
7.1%
p 5
 
7.1%
n 4
 
5.7%
a 4
 
5.7%
d 4
 
5.7%
w 4
 
5.7%
m 4
 
5.7%
Other values (7) 10
14.3%
Decimal Number
ValueCountFrequency (%)
1 1592
23.3%
2 958
14.0%
3 749
11.0%
4 686
10.0%
0 642
9.4%
5 508
 
7.4%
7 475
 
6.9%
8 453
 
6.6%
6 451
 
6.6%
9 322
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/ 7
58.3%
, 4
33.3%
@ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
4875
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1075
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18901
59.2%
Common 12832
40.2%
Latin 198
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1661
 
8.8%
1606
 
8.5%
1567
 
8.3%
1262
 
6.7%
1254
 
6.6%
1235
 
6.5%
1228
 
6.5%
857
 
4.5%
818
 
4.3%
378
 
2.0%
Other values (317) 7035
37.2%
Latin
ValueCountFrequency (%)
S 22
 
11.1%
e 15
 
7.6%
T 14
 
7.1%
K 13
 
6.6%
A 11
 
5.6%
B 11
 
5.6%
o 9
 
4.5%
C 8
 
4.0%
E 7
 
3.5%
I 6
 
3.0%
Other values (27) 82
41.4%
Common
ValueCountFrequency (%)
4875
38.0%
1 1592
 
12.4%
- 1075
 
8.4%
2 958
 
7.5%
3 749
 
5.8%
4 686
 
5.3%
0 642
 
5.0%
5 508
 
4.0%
7 475
 
3.7%
8 453
 
3.5%
Other values (7) 819
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18901
59.2%
ASCII 13030
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4875
37.4%
1 1592
 
12.2%
- 1075
 
8.3%
2 958
 
7.4%
3 749
 
5.7%
4 686
 
5.3%
0 642
 
4.9%
5 508
 
3.9%
7 475
 
3.6%
8 453
 
3.5%
Other values (44) 1017
 
7.8%
Hangul
ValueCountFrequency (%)
1661
 
8.8%
1606
 
8.5%
1567
 
8.3%
1262
 
6.7%
1254
 
6.6%
1235
 
6.5%
1228
 
6.5%
857
 
4.5%
818
 
4.3%
378
 
2.0%
Other values (317) 7035
37.2%

도로명전체주소
Text

MISSING 

Distinct1127
Distinct (%)96.6%
Missing56
Missing (%)4.6%
Memory size9.7 KiB
2024-04-16T15:51:19.472308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length33.341045
Min length21

Characters and Unicode

Total characters38909
Distinct characters416
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1094 ?
Unique (%)93.7%

Sample

1st row부산광역시 중구 자갈치해안로 60 (남포동4가)
2nd row부산광역시 중구 중앙대로81번길 2 (중앙동4가)
3rd row부산광역시 중구 망양로383번안길 36 (영주동)
4th row부산광역시 중구 중앙대로 80, 1303호 (중앙동4가, 노블리안2)
5th row부산광역시 중구 자갈치해안로 60 (남포동4가)
ValueCountFrequency (%)
부산광역시 1165
 
15.9%
부산진구 247
 
3.4%
중앙대로 168
 
2.3%
중구 141
 
1.9%
해운대구 136
 
1.9%
2층 123
 
1.7%
동구 114
 
1.6%
동래구 100
 
1.4%
연제구 95
 
1.3%
부전동 72
 
1.0%
Other values (1816) 4972
67.8%
2024-04-16T15:51:19.931821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6438
 
16.5%
1624
 
4.2%
1621
 
4.2%
1547
 
4.0%
1 1386
 
3.6%
1253
 
3.2%
1224
 
3.1%
, 1217
 
3.1%
1197
 
3.1%
1172
 
3.0%
Other values (406) 20230
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22460
57.7%
Space Separator 6438
 
16.5%
Decimal Number 6087
 
15.6%
Other Punctuation 1223
 
3.1%
Open Punctuation 1165
 
3.0%
Close Punctuation 1165
 
3.0%
Dash Punctuation 164
 
0.4%
Uppercase Letter 134
 
0.3%
Lowercase Letter 71
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1624
 
7.2%
1621
 
7.2%
1547
 
6.9%
1253
 
5.6%
1224
 
5.4%
1197
 
5.3%
1172
 
5.2%
1172
 
5.2%
789
 
3.5%
538
 
2.4%
Other values (352) 10323
46.0%
Uppercase Letter
ValueCountFrequency (%)
S 22
16.4%
K 14
10.4%
B 14
10.4%
A 12
9.0%
T 12
9.0%
C 10
 
7.5%
E 8
 
6.0%
I 6
 
4.5%
H 6
 
4.5%
O 5
 
3.7%
Other values (10) 25
18.7%
Lowercase Letter
ValueCountFrequency (%)
e 16
22.5%
o 9
12.7%
l 6
 
8.5%
p 5
 
7.0%
i 5
 
7.0%
n 4
 
5.6%
w 4
 
5.6%
a 4
 
5.6%
m 4
 
5.6%
d 4
 
5.6%
Other values (7) 10
14.1%
Decimal Number
ValueCountFrequency (%)
1 1386
22.8%
2 966
15.9%
3 751
12.3%
0 656
10.8%
4 495
 
8.1%
5 448
 
7.4%
6 414
 
6.8%
7 352
 
5.8%
8 321
 
5.3%
9 298
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 1217
99.5%
/ 6
 
0.5%
Space Separator
ValueCountFrequency (%)
6438
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22460
57.7%
Common 16244
41.7%
Latin 205
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1624
 
7.2%
1621
 
7.2%
1547
 
6.9%
1253
 
5.6%
1224
 
5.4%
1197
 
5.3%
1172
 
5.2%
1172
 
5.2%
789
 
3.5%
538
 
2.4%
Other values (352) 10323
46.0%
Latin
ValueCountFrequency (%)
S 22
 
10.7%
e 16
 
7.8%
K 14
 
6.8%
B 14
 
6.8%
A 12
 
5.9%
T 12
 
5.9%
C 10
 
4.9%
o 9
 
4.4%
E 8
 
3.9%
I 6
 
2.9%
Other values (27) 82
40.0%
Common
ValueCountFrequency (%)
6438
39.6%
1 1386
 
8.5%
, 1217
 
7.5%
( 1165
 
7.2%
) 1165
 
7.2%
2 966
 
5.9%
3 751
 
4.6%
0 656
 
4.0%
4 495
 
3.0%
5 448
 
2.8%
Other values (7) 1557
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22460
57.7%
ASCII 16449
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6438
39.1%
1 1386
 
8.4%
, 1217
 
7.4%
( 1165
 
7.1%
) 1165
 
7.1%
2 966
 
5.9%
3 751
 
4.6%
0 656
 
4.0%
4 495
 
3.0%
5 448
 
2.7%
Other values (44) 1762
 
10.7%
Hangul
ValueCountFrequency (%)
1624
 
7.2%
1621
 
7.2%
1547
 
6.9%
1253
 
5.6%
1224
 
5.4%
1197
 
5.3%
1172
 
5.2%
1172
 
5.2%
789
 
3.5%
538
 
2.4%
Other values (352) 10323
46.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct465
Distinct (%)56.5%
Missing400
Missing (%)32.7%
Infinite0
Infinite (%)0.0%
Mean104005.79
Minimum46015
Maximum618142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:20.044141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46285.3
Q147257
median48070
Q348821
95-th percentile612060
Maximum618142
Range572127
Interquartile range (IQR)1564

Descriptive statistics

Standard deviation168861.43
Coefficient of variation (CV)1.6235771
Kurtosis5.1887279
Mean104005.79
Median Absolute Deviation (MAD)812
Skewness2.6786109
Sum85596769
Variance2.8514183 × 1010
MonotonicityNot monotonic
2024-04-16T15:51:20.147287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47216 20
 
1.6%
48924 11
 
0.9%
47257 11
 
0.9%
47246 10
 
0.8%
48059 10
 
0.8%
48092 9
 
0.7%
48508 9
 
0.7%
47541 8
 
0.7%
48095 8
 
0.7%
47247 8
 
0.7%
Other values (455) 719
58.8%
(Missing) 400
32.7%
ValueCountFrequency (%)
46015 2
0.2%
46022 1
0.1%
46024 2
0.2%
46056 1
0.1%
46063 1
0.1%
46070 1
0.1%
46072 1
0.1%
46073 1
0.1%
46080 1
0.1%
46213 1
0.1%
ValueCountFrequency (%)
618142 1
0.1%
617825 1
0.1%
617816 1
0.1%
617814 1
0.1%
617809 2
0.2%
617807 1
0.1%
617802 1
0.1%
617723 1
0.1%
616852 1
0.1%
616829 1
0.1%
Distinct1179
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
2024-04-16T15:51:20.354620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length8.1381848
Min length2

Characters and Unicode

Total characters9953
Distinct characters478
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1139 ?
Unique (%)93.1%

Sample

1st row㈜부산남항유람선 자갈치크루즈
2nd row(주)팔성국제관광
3rd row(주)레일킹
4th row수트래블
5th row부산남항유람선 자갈치크루즈
ValueCountFrequency (%)
주식회사 81
 
5.6%
여행사 29
 
2.0%
투어 16
 
1.1%
15
 
1.0%
tour 6
 
0.4%
여행 6
 
0.4%
부산투어 5
 
0.3%
협동조합 5
 
0.3%
부산 3
 
0.2%
우리여행사 3
 
0.2%
Other values (1234) 1290
88.4%
2024-04-16T15:51:20.908411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
855
 
8.6%
( 765
 
7.7%
) 765
 
7.7%
507
 
5.1%
506
 
5.1%
494
 
5.0%
404
 
4.1%
398
 
4.0%
236
 
2.4%
180
 
1.8%
Other values (468) 4843
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7997
80.3%
Open Punctuation 765
 
7.7%
Close Punctuation 765
 
7.7%
Space Separator 236
 
2.4%
Uppercase Letter 115
 
1.2%
Lowercase Letter 34
 
0.3%
Other Punctuation 18
 
0.2%
Decimal Number 15
 
0.2%
Dash Punctuation 5
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
855
 
10.7%
507
 
6.3%
506
 
6.3%
494
 
6.2%
404
 
5.1%
398
 
5.0%
180
 
2.3%
176
 
2.2%
166
 
2.1%
164
 
2.1%
Other values (415) 4147
51.9%
Uppercase Letter
ValueCountFrequency (%)
T 23
20.0%
O 13
11.3%
B 7
 
6.1%
W 6
 
5.2%
U 6
 
5.2%
H 6
 
5.2%
R 6
 
5.2%
L 6
 
5.2%
E 5
 
4.3%
J 5
 
4.3%
Other values (11) 32
27.8%
Lowercase Letter
ValueCountFrequency (%)
r 6
17.6%
o 5
14.7%
t 3
8.8%
u 3
8.8%
e 2
 
5.9%
s 2
 
5.9%
a 2
 
5.9%
i 2
 
5.9%
c 1
 
2.9%
b 1
 
2.9%
Other values (7) 7
20.6%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
& 5
27.8%
, 2
 
11.1%
: 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 7
46.7%
2 5
33.3%
8 2
 
13.3%
0 1
 
6.7%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 765
100.0%
Close Punctuation
ValueCountFrequency (%)
) 765
100.0%
Space Separator
ValueCountFrequency (%)
236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7998
80.4%
Common 1806
 
18.1%
Latin 149
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
855
 
10.7%
507
 
6.3%
506
 
6.3%
494
 
6.2%
404
 
5.1%
398
 
5.0%
180
 
2.3%
176
 
2.2%
166
 
2.1%
164
 
2.1%
Other values (416) 4148
51.9%
Latin
ValueCountFrequency (%)
T 23
 
15.4%
O 13
 
8.7%
B 7
 
4.7%
W 6
 
4.0%
r 6
 
4.0%
U 6
 
4.0%
H 6
 
4.0%
R 6
 
4.0%
L 6
 
4.0%
E 5
 
3.4%
Other values (28) 65
43.6%
Common
ValueCountFrequency (%)
( 765
42.4%
) 765
42.4%
236
 
13.1%
. 10
 
0.6%
1 7
 
0.4%
2 5
 
0.3%
- 5
 
0.3%
& 5
 
0.3%
, 2
 
0.1%
8 2
 
0.1%
Other values (4) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7997
80.3%
ASCII 1954
 
19.6%
Arrows 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
855
 
10.7%
507
 
6.3%
506
 
6.3%
494
 
6.2%
404
 
5.1%
398
 
5.0%
180
 
2.3%
176
 
2.2%
166
 
2.1%
164
 
2.1%
Other values (415) 4147
51.9%
ASCII
ValueCountFrequency (%)
( 765
39.2%
) 765
39.2%
236
 
12.1%
T 23
 
1.2%
O 13
 
0.7%
. 10
 
0.5%
1 7
 
0.4%
B 7
 
0.4%
W 6
 
0.3%
r 6
 
0.3%
Other values (41) 116
 
5.9%
Arrows
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct1193
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0157883 × 1013
Minimum2.0021018 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:21.022971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0040612 × 1013
Q12.0120465 × 1013
median2.0190528 × 1013
Q32.0200808 × 1013
95-th percentile2.0210205 × 1013
Maximum2.0210226 × 1013
Range1.8920798 × 1011
Interquartile range (IQR)8.0343476 × 1010

Descriptive statistics

Standard deviation5.645608 × 1010
Coefficient of variation (CV)0.0028006949
Kurtosis-0.41297213
Mean2.0157883 × 1013
Median Absolute Deviation (MAD)1.9592041 × 1010
Skewness-0.98638985
Sum2.4653091 × 1016
Variance3.187289 × 1021
MonotonicityNot monotonic
2024-04-16T15:51:21.136402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161421 17
 
1.4%
20030127161348 15
 
1.2%
20210208153138 1
 
0.1%
20210224174814 1
 
0.1%
20210223143452 1
 
0.1%
20201209105913 1
 
0.1%
20210224125616 1
 
0.1%
20210218170340 1
 
0.1%
20210224125818 1
 
0.1%
20201005183944 1
 
0.1%
Other values (1183) 1183
96.7%
ValueCountFrequency (%)
20021018131515 1
 
0.1%
20021217165012 1
 
0.1%
20030127161348 15
1.2%
20030127161421 17
1.4%
20030203150601 1
 
0.1%
20030312172512 1
 
0.1%
20030410112657 1
 
0.1%
20030422140401 1
 
0.1%
20030423092346 1
 
0.1%
20030516111251 1
 
0.1%
ValueCountFrequency (%)
20210226110536 1
0.1%
20210226101959 1
0.1%
20210225110208 1
0.1%
20210224192324 1
0.1%
20210224191942 1
0.1%
20210224185727 1
0.1%
20210224185130 1
0.1%
20210224175850 1
0.1%
20210224175504 1
0.1%
20210224174814 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
U
620 
I
603 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowU
3rd rowU
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
U 620
50.7%
I 603
49.3%

Length

2024-04-16T15:51:21.237355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:21.321437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 620
50.7%
i 603
49.3%
Distinct333
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 02:40:00
2024-04-16T15:51:21.425412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T15:51:21.531455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct873
Distinct (%)73.5%
Missing36
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean388443.19
Minimum345960.71
Maximum419502.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:21.640219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum345960.71
5-th percentile380512.29
Q1385797.26
median388153.84
Q3390398.05
95-th percentile397020.29
Maximum419502.8
Range73542.098
Interquartile range (IQR)4600.794

Descriptive statistics

Standard deviation4695.0982
Coefficient of variation (CV)0.012086962
Kurtosis7.8198247
Mean388443.19
Median Absolute Deviation (MAD)2317.1545
Skewness-0.28144229
Sum4.6108207 × 108
Variance22043947
MonotonicityNot monotonic
2024-04-16T15:51:21.756148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391411.212179843 15
 
1.2%
387225.613588405 14
 
1.1%
385507.640529964 12
 
1.0%
386093.674147239 11
 
0.9%
388922.806889486 9
 
0.7%
396180.621244719 8
 
0.7%
385502.492319657 7
 
0.6%
389816.233000769 6
 
0.5%
390930.00670494 6
 
0.5%
387869.134317928 6
 
0.5%
Other values (863) 1093
89.4%
(Missing) 36
 
2.9%
ValueCountFrequency (%)
345960.705739 1
0.1%
370724.725584034 1
0.1%
371478.346756395 1
0.1%
373016.981172454 1
0.1%
373099.680011291 1
0.1%
373506.567424228 1
0.1%
374032.128682044 1
0.1%
374333.199064 1
0.1%
374846.363500608 1
0.1%
375136.600064481 1
0.1%
ValueCountFrequency (%)
419502.803661768 1
0.1%
407681.822826568 1
0.1%
402013.567273627 1
0.1%
401991.877826951 1
0.1%
401723.13090266 1
0.1%
401654.448837686 1
0.1%
401510.613962736 1
0.1%
401502.415893064 1
0.1%
401448.811664877 1
0.1%
400815.753437419 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct873
Distinct (%)73.5%
Missing36
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean186536.3
Minimum174307.15
Maximum265785.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:21.872113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174307.15
5-th percentile179770.55
Q1182683.73
median186501.73
Q3189277.3
95-th percentile194727.31
Maximum265785.6
Range91478.456
Interquartile range (IQR)6593.5646

Descriptive statistics

Standard deviation5324.9561
Coefficient of variation (CV)0.028546486
Kurtosis43.258877
Mean186536.3
Median Absolute Deviation (MAD)3120.4696
Skewness3.3628829
Sum2.2141859 × 108
Variance28355157
MonotonicityNot monotonic
2024-04-16T15:51:21.982360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184052.409245407 15
 
1.2%
186408.726533861 14
 
1.1%
180548.792611588 12
 
1.0%
182068.358104572 11
 
0.9%
188106.837170815 9
 
0.7%
186522.35047527 8
 
0.7%
180297.579330876 7
 
0.6%
193329.605871168 6
 
0.5%
190723.300222595 6
 
0.5%
186381.28184674 6
 
0.5%
Other values (863) 1093
89.4%
(Missing) 36
 
2.9%
ValueCountFrequency (%)
174307.148168245 1
0.1%
174856.056137804 1
0.1%
175087.296427656 2
0.2%
175314.286676535 1
0.1%
176115.246760367 1
0.1%
176897.907425952 1
0.1%
177441.748341131 1
0.1%
177442.817428718 1
0.1%
177503.490301168 1
0.1%
177527.376138393 1
0.1%
ValueCountFrequency (%)
265785.603884 1
0.1%
226490.138380339 1
0.1%
205732.231316224 1
0.1%
204739.778227028 1
0.1%
204665.784677421 1
0.1%
204592.491613115 1
0.1%
204214.040987968 1
0.1%
204186.113952008 1
0.1%
199051.512822937 1
0.1%
198984.033259358 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
국내여행업
1223 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국내여행업
2nd row국내여행업
3rd row국내여행업
4th row국내여행업
5th row국내여행업

Common Values

ValueCountFrequency (%)
국내여행업 1223
100.0%

Length

2024-04-16T15:51:22.077485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:22.147831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 1223
100.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
<NA>
690 
관광사업
533 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row관광사업
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 690
56.4%
관광사업 533
43.6%

Length

2024-04-16T15:51:22.221700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:22.308924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 690
56.4%
관광사업 533
43.6%

지역구분명
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
<NA>
996 
일반주거지역
 
62
일반상업지역
 
41
상업지역
 
35
근린상업지역
 
30
Other values (9)
 
59

Length

Max length6
Median length4
Mean length4.258381
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 996
81.4%
일반주거지역 62
 
5.1%
일반상업지역 41
 
3.4%
상업지역 35
 
2.9%
근린상업지역 30
 
2.5%
준주거지역 29
 
2.4%
주거지역 14
 
1.1%
준공업지역 7
 
0.6%
자연녹지지역 4
 
0.3%
일반공업지역 1
 
0.1%
Other values (4) 4
 
0.3%

Length

2024-04-16T15:51:22.394865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 996
81.4%
일반주거지역 62
 
5.1%
일반상업지역 41
 
3.4%
상업지역 35
 
2.9%
근린상업지역 30
 
2.5%
준주거지역 29
 
2.4%
주거지역 14
 
1.1%
준공업지역 7
 
0.6%
자연녹지지역 4
 
0.3%
일반공업지역 1
 
0.1%
Other values (4) 4
 
0.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)11.6%
Missing1008
Missing (%)82.4%
Infinite0
Infinite (%)0.0%
Mean5.6186047
Minimum0
Maximum54
Zeros17
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:22.490104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile16.2
Maximum54
Range54
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.2841928
Coefficient of variation (CV)1.2964416
Kurtosis18.35458
Mean5.6186047
Median Absolute Deviation (MAD)2
Skewness3.8724855
Sum1208
Variance53.059465
MonotonicityNot monotonic
2024-04-16T15:51:22.583027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2 36
 
2.9%
4 35
 
2.9%
3 29
 
2.4%
5 21
 
1.7%
0 17
 
1.4%
6 15
 
1.2%
1 14
 
1.1%
7 10
 
0.8%
8 7
 
0.6%
10 7
 
0.6%
Other values (15) 24
 
2.0%
(Missing) 1008
82.4%
ValueCountFrequency (%)
0 17
1.4%
1 14
 
1.1%
2 36
2.9%
3 29
2.4%
4 35
2.9%
5 21
1.7%
6 15
1.2%
7 10
 
0.8%
8 7
 
0.6%
9 3
 
0.2%
ValueCountFrequency (%)
54 1
 
0.1%
50 1
 
0.1%
37 1
 
0.1%
33 1
 
0.1%
31 3
0.2%
27 1
 
0.1%
21 1
 
0.1%
20 1
 
0.1%
19 1
 
0.1%
15 1
 
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
<NA>
1064 
기타
 
86
학교정화(상대)
 
22
주택가주변
 
21
아파트지역
 
19
Other values (3)
 
11

Length

Max length8
Median length4
Mean length3.9967294
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1064
87.0%
기타 86
 
7.0%
학교정화(상대) 22
 
1.8%
주택가주변 21
 
1.7%
아파트지역 19
 
1.6%
유흥업소밀집지역 5
 
0.4%
결혼예식장주변 4
 
0.3%
학교정화(절대) 2
 
0.2%

Length

2024-04-16T15:51:22.687662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:22.780274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1064
87.0%
기타 86
 
7.0%
학교정화(상대 22
 
1.8%
주택가주변 21
 
1.7%
아파트지역 19
 
1.6%
유흥업소밀집지역 5
 
0.4%
결혼예식장주변 4
 
0.3%
학교정화(절대 2
 
0.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

보험기관명
Categorical

Distinct30
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
<NA>
458 
서울보증보험주식회사
258 
서울보증보험
208 
한국관광협회중앙회 여행공제회
84 
한국관광협회중앙회
61 
Other values (25)
154 

Length

Max length19
Median length16
Mean length7.1651676
Min length4

Unique

Unique15 ?
Unique (%)1.2%

Sample

1st row서울보증보험
2nd row서울보증보험
3rd row한국관광협회
4th row서울보증보험
5th row서울보증보험주식회사

Common Values

ValueCountFrequency (%)
<NA> 458
37.4%
서울보증보험주식회사 258
21.1%
서울보증보험 208
17.0%
한국관광협회중앙회 여행공제회 84
 
6.9%
한국관광협회중앙회 61
 
5.0%
한국관광협회 58
 
4.7%
서울보증보험(주) 20
 
1.6%
부산광역시관광협회 14
 
1.1%
한국관광협회중앙회여행공제회 12
 
1.0%
부산광역시 관광협회 9
 
0.7%
Other values (20) 41
 
3.4%

Length

2024-04-16T15:51:22.886222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 458
34.5%
서울보증보험주식회사 258
19.4%
서울보증보험 208
15.7%
한국관광협회중앙회 155
 
11.7%
여행공제회 85
 
6.4%
한국관광협회 59
 
4.4%
서울보증보험(주 20
 
1.5%
관광공제회 16
 
1.2%
부산광역시관광협회 14
 
1.1%
관광협회 12
 
0.9%
Other values (19) 44
 
3.3%

건물용도명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
<NA>
980 
근린생활시설
170 
사무실
 
53
교육연구시설
 
6
기타
 
5
Other values (6)
 
9

Length

Max length15
Median length4
Mean length4.2444808
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row사무실
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 980
80.1%
근린생활시설 170
 
13.9%
사무실 53
 
4.3%
교육연구시설 6
 
0.5%
기타 5
 
0.4%
아파트 3
 
0.2%
유통시설 2
 
0.2%
복지시설 1
 
0.1%
다세대주택 1
 
0.1%
다가구용 주택(공동주택적용) 1
 
0.1%

Length

2024-04-16T15:51:22.983177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 980
80.1%
근린생활시설 170
 
13.9%
사무실 53
 
4.3%
교육연구시설 6
 
0.5%
기타 5
 
0.4%
아파트 3
 
0.2%
유통시설 2
 
0.2%
복지시설 1
 
0.1%
다세대주택 1
 
0.1%
다가구용 1
 
0.1%
Other values (2) 2
 
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)11.0%
Missing986
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean5.0843882
Minimum0
Maximum49
Zeros16
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:23.074586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile16.2
Maximum49
Range49
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.4434674
Coefficient of variation (CV)1.2673044
Kurtosis16.345471
Mean5.0843882
Median Absolute Deviation (MAD)1
Skewness3.5909416
Sum1205
Variance41.518272
MonotonicityNot monotonic
2024-04-16T15:51:23.165309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2 60
 
4.9%
3 38
 
3.1%
4 27
 
2.2%
5 23
 
1.9%
1 17
 
1.4%
0 16
 
1.3%
6 10
 
0.8%
7 8
 
0.7%
9 8
 
0.7%
10 5
 
0.4%
Other values (16) 25
 
2.0%
(Missing) 986
80.6%
ValueCountFrequency (%)
0 16
 
1.3%
1 17
 
1.4%
2 60
4.9%
3 38
3.1%
4 27
2.2%
5 23
 
1.9%
6 10
 
0.8%
7 8
 
0.7%
8 4
 
0.3%
9 8
 
0.7%
ValueCountFrequency (%)
49 1
 
0.1%
43 1
 
0.1%
32 1
 
0.1%
29 1
 
0.1%
26 3
0.2%
24 1
 
0.1%
23 1
 
0.1%
22 1
 
0.1%
20 1
 
0.1%
17 1
 
0.1%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)6.5%
Missing1100
Missing (%)89.9%
Infinite0
Infinite (%)0.0%
Mean1.2926829
Minimum0
Maximum7
Zeros26
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:23.246637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3412235
Coefficient of variation (CV)1.0375502
Kurtosis4.6495041
Mean1.2926829
Median Absolute Deviation (MAD)0
Skewness2.0797404
Sum159
Variance1.7988804
MonotonicityNot monotonic
2024-04-16T15:51:23.332955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 70
 
5.7%
0 26
 
2.1%
2 13
 
1.1%
5 6
 
0.5%
3 4
 
0.3%
4 2
 
0.2%
7 1
 
0.1%
6 1
 
0.1%
(Missing) 1100
89.9%
ValueCountFrequency (%)
0 26
 
2.1%
1 70
5.7%
2 13
 
1.1%
3 4
 
0.3%
4 2
 
0.2%
5 6
 
0.5%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 6
 
0.5%
4 2
 
0.2%
3 4
 
0.3%
2 13
 
1.1%
1 70
5.7%
0 26
 
2.1%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

영문상호명
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing1195
Missing (%)97.7%
Memory size9.7 KiB
2024-04-16T15:51:23.495254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length25.5
Mean length20
Min length7

Characters and Unicode

Total characters560
Distinct characters52
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st rowLeaders Tour
2nd rowSEOKWANG Travel
3rd rowEMTCO Limited
4th rowNadri Tour Co.,Ltd.
5th rowS&G.CO.,Ltd
ValueCountFrequency (%)
tour 13
 
13.7%
travel 8
 
8.4%
co 6
 
6.3%
ltd 6
 
6.3%
co.,ltd 5
 
5.3%
inc 4
 
4.2%
service 3
 
3.2%
agency 3
 
3.2%
busan 2
 
2.1%
express 2
 
2.1%
Other values (42) 43
45.3%
2024-04-16T15:51:23.767304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
12.0%
T 34
 
6.1%
O 28
 
5.0%
L 26
 
4.6%
R 26
 
4.6%
E 26
 
4.6%
. 22
 
3.9%
C 21
 
3.8%
A 21
 
3.8%
S 19
 
3.4%
Other values (42) 270
48.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 311
55.5%
Lowercase Letter 146
26.1%
Space Separator 67
 
12.0%
Other Punctuation 34
 
6.1%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 34
10.9%
O 28
 
9.0%
L 26
 
8.4%
R 26
 
8.4%
E 26
 
8.4%
C 21
 
6.8%
A 21
 
6.8%
S 19
 
6.1%
U 19
 
6.1%
I 14
 
4.5%
Other values (14) 77
24.8%
Lowercase Letter
ValueCountFrequency (%)
a 18
12.3%
n 16
11.0%
e 15
10.3%
o 14
9.6%
r 14
9.6%
t 10
 
6.8%
d 9
 
6.2%
c 9
 
6.2%
u 7
 
4.8%
l 6
 
4.1%
Other values (12) 28
19.2%
Other Punctuation
ValueCountFrequency (%)
. 22
64.7%
, 10
29.4%
& 2
 
5.9%
Space Separator
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 457
81.6%
Common 103
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 34
 
7.4%
O 28
 
6.1%
L 26
 
5.7%
R 26
 
5.7%
E 26
 
5.7%
C 21
 
4.6%
A 21
 
4.6%
S 19
 
4.2%
U 19
 
4.2%
a 18
 
3.9%
Other values (36) 219
47.9%
Common
ValueCountFrequency (%)
67
65.0%
. 22
 
21.4%
, 10
 
9.7%
& 2
 
1.9%
( 1
 
1.0%
) 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
 
12.0%
T 34
 
6.1%
O 28
 
5.0%
L 26
 
4.6%
R 26
 
4.6%
E 26
 
4.6%
. 22
 
3.9%
C 21
 
3.8%
A 21
 
3.8%
S 19
 
3.4%
Other values (42) 270
48.2%

영문상호주소
Categorical

IMBALANCE 

Distinct13
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
<NA>
1195 
Domestic travel business
 
6
Inland Travel Business
 
3
Domestic Traval Agency
 
3
Domestic Travel Agency
 
3
Other values (8)
 
13

Length

Max length30
Median length4
Mean length4.4431725
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1195
97.7%
Domestic travel business 6
 
0.5%
Inland Travel Business 3
 
0.2%
Domestic Traval Agency 3
 
0.2%
Domestic Travel Agency 3
 
0.2%
DOMESTIC TRAVEL AGENCY 3
 
0.2%
DOMESTIC TRAVEL BUSINESS 3
 
0.2%
WITHIN A COUNTRY TRAVEL AGENCY 2
 
0.2%
Domestic Travel Industry 1
 
0.1%
Domestic Travel Business 1
 
0.1%
Other values (3) 3
 
0.2%

Length

2024-04-16T15:51:23.877915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1195
93.2%
travel 25
 
2.0%
domestic 21
 
1.6%
business 14
 
1.1%
agency 12
 
0.9%
inland 3
 
0.2%
traval 3
 
0.2%
within 2
 
0.2%
a 2
 
0.2%
country 2
 
0.2%
Other values (3) 3
 
0.2%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct223
Distinct (%)74.6%
Missing924
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean310.21278
Minimum0
Maximum43511
Zeros18
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:23.984652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129.345
median49.5
Q388.5
95-th percentile204.107
Maximum43511
Range43511
Interquartile range (IQR)59.155

Descriptive statistics

Standard deviation2748.1097
Coefficient of variation (CV)8.8587896
Kurtosis212.79717
Mean310.21278
Median Absolute Deviation (MAD)27.45
Skewness14.13404
Sum92753.62
Variance7552107
MonotonicityNot monotonic
2024-04-16T15:51:24.088484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
1.5%
33.0 12
 
1.0%
30.0 7
 
0.6%
66.0 6
 
0.5%
20.0 5
 
0.4%
50.0 5
 
0.4%
42.05 3
 
0.2%
49.5 3
 
0.2%
12.0 3
 
0.2%
39.6 3
 
0.2%
Other values (213) 234
 
19.1%
(Missing) 924
75.6%
ValueCountFrequency (%)
0.0 18
1.5%
2.58 1
 
0.1%
4.05 1
 
0.1%
6.0 1
 
0.1%
6.6 1
 
0.1%
6.71 1
 
0.1%
8.0 1
 
0.1%
8.4 1
 
0.1%
10.0 1
 
0.1%
12.0 3
 
0.2%
ValueCountFrequency (%)
43511.0 1
0.1%
18592.0 1
0.1%
3920.67 1
0.1%
3480.76 1
0.1%
2988.0 1
0.1%
1022.9 1
0.1%
1013.0 1
0.1%
268.5 1
0.1%
258.15 1
0.1%
243.34 1
0.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
<NA>
1222 
20200205
 
1

Length

Max length8
Median length4
Mean length4.0032706
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1222
99.9%
20200205 1
 
0.1%

Length

2024-04-16T15:51:24.231694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:24.311430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1222
99.9%
20200205 1
 
0.1%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
<NA>
1222 
20210204
 
1

Length

Max length8
Median length4
Mean length4.0032706
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1222
99.9%
20210204 1
 
0.1%

Length

2024-04-16T15:51:24.394858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:51:24.475121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1222
99.9%
20210204 1
 
0.1%

자본금
Real number (ℝ)

MISSING 

Distinct136
Distinct (%)17.1%
Missing428
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean88078985
Minimum5000
Maximum6.5122084 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:24.573732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000
5-th percentile15000000
Q130000000
median50000000
Q31 × 108
95-th percentile1.5 × 108
Maximum6.5122084 × 109
Range6.5122034 × 109
Interquartile range (IQR)70000000

Descriptive statistics

Standard deviation2.701284 × 108
Coefficient of variation (CV)3.0668882
Kurtosis435.55377
Mean88078985
Median Absolute Deviation (MAD)20000000
Skewness19.649745
Sum7.0022793 × 1010
Variance7.2969355 × 1016
MonotonicityNot monotonic
2024-04-16T15:51:24.682546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000000 192
15.7%
30000000 106
 
8.7%
150000000 103
 
8.4%
100000000 72
 
5.9%
90000000 53
 
4.3%
15000000 51
 
4.2%
45000000 21
 
1.7%
60000000 16
 
1.3%
20000000 16
 
1.3%
500000000 5
 
0.4%
Other values (126) 160
 
13.1%
(Missing) 428
35.0%
ValueCountFrequency (%)
5000 1
 
0.1%
5300 1
 
0.1%
30000 1
 
0.1%
1500000 1
 
0.1%
1750000 1
 
0.1%
3000000 4
 
0.3%
5000000 1
 
0.1%
10000000 2
 
0.2%
15000000 51
4.2%
15001346 1
 
0.1%
ValueCountFrequency (%)
6512208375 1
 
0.1%
3500000000 1
 
0.1%
1000000000 1
 
0.1%
950000000 1
 
0.1%
505000000 1
 
0.1%
500000000 5
0.4%
490000000 1
 
0.1%
375256000 1
 
0.1%
300000000 3
0.2%
281323639 1
 
0.1%

보험시작일자
Real number (ℝ)

MISSING 

Distinct610
Distinct (%)76.3%
Missing424
Missing (%)34.7%
Infinite0
Infinite (%)0.0%
Mean20181895
Minimum20021021
Maximum20210228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:24.806765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021021
5-th percentile20110812
Q120171062
median20191202
Q320200625
95-th percentile20201212
Maximum20210228
Range189207
Interquartile range (IQR)29563

Descriptive statistics

Standard deviation30192.651
Coefficient of variation (CV)0.0014960266
Kurtosis4.8245349
Mean20181895
Median Absolute Deviation (MAD)9608
Skewness-2.0924343
Sum1.6125334 × 1010
Variance9.1159616 × 108
MonotonicityNot monotonic
2024-04-16T15:51:24.920670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200401 8
 
0.7%
20200701 7
 
0.6%
20200625 5
 
0.4%
20200718 5
 
0.4%
20191201 5
 
0.4%
20200805 4
 
0.3%
20190705 4
 
0.3%
20200614 4
 
0.3%
20191125 4
 
0.3%
20200826 4
 
0.3%
Other values (600) 749
61.2%
(Missing) 424
34.7%
ValueCountFrequency (%)
20021021 1
0.1%
20030812 1
0.1%
20030925 1
0.1%
20040420 1
0.1%
20051201 1
0.1%
20070111 1
0.1%
20070601 1
0.1%
20070802 1
0.1%
20071116 1
0.1%
20080303 1
0.1%
ValueCountFrequency (%)
20210228 1
 
0.1%
20210224 1
 
0.1%
20210223 2
0.2%
20210222 1
 
0.1%
20210206 1
 
0.1%
20210204 1
 
0.1%
20210202 1
 
0.1%
20210201 3
0.2%
20210131 2
0.2%
20210130 1
 
0.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct611
Distinct (%)76.4%
Missing423
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean20194536
Minimum20031021
Maximum21210810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:25.033887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031021
5-th percentile20120899
Q120181107
median20201210
Q320210627
95-th percentile20211226
Maximum21210810
Range1179789
Interquartile range (IQR)29520

Descriptive statistics

Standard deviation59110.319
Coefficient of variation (CV)0.0029270452
Kurtosis217.88174
Mean20194536
Median Absolute Deviation (MAD)9607.5
Skewness12.444106
Sum1.6155629 × 1010
Variance3.4940298 × 109
MonotonicityNot monotonic
2024-04-16T15:51:25.389250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210331 7
 
0.6%
20210630 7
 
0.6%
20210705 5
 
0.4%
20201130 5
 
0.4%
20210131 4
 
0.3%
20210825 4
 
0.3%
20210608 4
 
0.3%
20200831 4
 
0.3%
20210610 4
 
0.3%
20210624 4
 
0.3%
Other values (601) 752
61.5%
(Missing) 423
34.6%
ValueCountFrequency (%)
20031021 1
0.1%
20040812 1
0.1%
20040925 1
0.1%
20050420 1
0.1%
20061201 1
0.1%
20080111 1
0.1%
20080601 1
0.1%
20080802 1
0.1%
20081115 1
0.1%
20090704 1
0.1%
ValueCountFrequency (%)
21210810 1
0.1%
21210714 1
0.1%
20221110 1
0.1%
20221027 1
0.1%
20220806 1
0.1%
20220227 1
0.1%
20220224 1
0.1%
20220223 2
0.2%
20220221 1
0.1%
20220205 1
0.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)43.5%
Missing924
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean310.23411
Minimum0
Maximum43511
Zeros18
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-04-16T15:51:25.501829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129.5
median50
Q388.5
95-th percentile203.9
Maximum43511
Range43511
Interquartile range (IQR)59

Descriptive statistics

Standard deviation2748.1103
Coefficient of variation (CV)8.8581821
Kurtosis212.79655
Mean310.23411
Median Absolute Deviation (MAD)27
Skewness14.134012
Sum92760
Variance7552110.2
MonotonicityNot monotonic
2024-04-16T15:51:25.609799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
1.5%
33 16
 
1.3%
50 10
 
0.8%
20 9
 
0.7%
30 9
 
0.7%
66 8
 
0.7%
40 7
 
0.6%
15 6
 
0.5%
32 5
 
0.4%
42 5
 
0.4%
Other values (120) 206
 
16.8%
(Missing) 924
75.6%
ValueCountFrequency (%)
0 18
1.5%
3 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
7 2
 
0.2%
8 2
 
0.2%
10 1
 
0.1%
12 3
 
0.2%
13 2
 
0.2%
15 6
 
0.5%
ValueCountFrequency (%)
43511 1
0.1%
18592 1
0.1%
3921 1
0.1%
3481 1
0.1%
2988 1
0.1%
1023 1
0.1%
1013 1
0.1%
269 1
0.1%
258 1
0.1%
243 1
0.1%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1223
Missing (%)100.0%
Memory size10.9 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01국내여행업03_12_01_P3250000CDFI226001201900000420190619<NA>2휴업2휴업<NA>2021021620210315<NA>051-241-0909,<NA><NA>부산광역시 중구 남포동4가 44-3부산광역시 중구 자갈치해안로 60 (남포동4가)48984㈜부산남항유람선 자갈치크루즈20210208153138U2021-02-10 02:40:00.0<NA>385191.013393179401.283402국내여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35000000002020062120210620<NA><NA><NA>
12국내여행업03_12_01_P3250000CDFI226001200700001320071109<NA>2휴업2휴업<NA>2019070120200630<NA>469-7731<NA>600815부산광역시 중구 중앙동4가 53-30부산광역시 중구 중앙대로81번길 2 (중앙동4가)<NA>(주)팔성국제관광20200729095300U2020-07-31 02:40:00.0<NA>385556.341486180343.213568국내여행업관광사업<NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1500000002018110920191108<NA><NA><NA>
23국내여행업03_12_01_P3250000CDFI226001201700000820170711<NA>2휴업2휴업<NA>2021011320220113<NA>051-465-2356<NA><NA>부산광역시 중구 영주동 214-10부산광역시 중구 망양로383번안길 36 (영주동)48901(주)레일킹20210114091621U2021-01-16 02:40:00.0<NA>384902.362334181013.43141국내여행업<NA><NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002020073120210731<NA><NA><NA>
34국내여행업03_12_01_P3250000CDFI226001201700000920170725<NA>2휴업2휴업<NA>2020082020210819<NA><NA><NA><NA>부산광역시 중구 중앙동4가 23-1 1303호부산광역시 중구 중앙대로 80, 1303호 (중앙동4가, 노블리안2)48941수트래블20210112112230U2021-01-14 02:40:00.0<NA>385630.742187180306.821082국내여행업<NA><NA><NA><NA><NA>서울보증보험사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27.48<NA><NA><NA><NA><NA><NA><NA><NA>450000002019081620200815<NA>27<NA>
45국내여행업03_12_01_P3250000CDFI226001201900000220190110<NA>3폐업3폐업20200106<NA><NA><NA>051241 0909<NA><NA>부산광역시 중구 남포동4가 44-3번지부산광역시 중구 자갈치해안로 60 (남포동4가)48984부산남항유람선 자갈치크루즈20200106150326U2020-01-08 02:40:00.0<NA>385191.013393179401.283402국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>162433582019011420200113<NA><NA><NA>
56국내여행업03_12_01_P3250000CDFI226001201900000620190829<NA>3폐업3폐업20190924<NA><NA><NA>051-464-6464<NA><NA>부산광역시 중구 중앙동4가 15-3번지부산광역시 중구 충장대로 24, 부산항연안여객터미널 1층 (중앙동4가)48940(주)마린크루즈20190924165841U2019-09-26 02:40:00.0<NA>386032.236799180263.270671국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15000000<NA><NA><NA><NA><NA>
67국내여행업03_12_01_P3250000CDFI226001199700000619970421<NA>3폐업3폐업20060704<NA><NA><NA>254-4061<NA>600045부산광역시 중구 남포동5가 39-6번지부산광역시 중구 중구로 2 (남포동5가)<NA>(주)초이스관광여행사20060704162946I2018-08-31 23:59:59.0<NA>384877.272224179536.794609국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78국내여행업03_12_01_P3250000CDFI226001199400000119940929<NA>3폐업3폐업20200317<NA><NA><NA>246-1003<NA>600046부산광역시 중구 남포동6가 113-1번지부산광역시 중구 구덕로 87-1 (남포동6가)<NA>(주)미래투어20200317173318U2020-03-19 02:40:00.0<NA>384708.848958179404.943227국내여행업관광사업<NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2018100820191017<NA><NA><NA>
89국내여행업03_12_01_P3250000CDFI226001199700000719970801<NA>3폐업3폐업20060517<NA><NA><NA>442-5020<NA>600815부산광역시 중구 중앙동4가 37-16번지 동아제일빌딩 903호부산광역시 중구 중앙대로81번길 9, 903호 (중앙동4가,동아제일빌딩)<NA>(주)세진여행사20060517165132I2018-08-31 23:59:59.0<NA>385473.57641180297.978229국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910국내여행업03_12_01_P3250000CDFI226001199800000119980202<NA>3폐업3폐업20090129<NA><NA><NA>462-6661<NA>600814부산광역시 중구 중앙동4가 89-1번지부산광역시 중구 중앙대로 94 (중앙동4가)<NA>(주)아주좋은여행사20090129180902I2018-08-31 23:59:59.0<NA>385624.46871180447.914514국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
12131214국내여행업03_12_01_P3330000CDFI226001202000000720200730<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 760-3 오션타워 1920호부산광역시 해운대구 해운대해변로 203, 오션타워 1920호 (우동)48093주식회사 프래블20200818132708U2020-08-20 02:40:00.0<NA>396180.621245186522.350475국내여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020081420210813<NA><NA><NA>
12141215국내여행업03_12_01_P3330000CDFI226001202000000620040305<NA>1영업/정상13영업중<NA><NA><NA><NA>051-463-7500<NA><NA>부산광역시 해운대구 우동 1520 롯데갤러리움센텀부산광역시 해운대구 센텀1로 9, 롯데갤러리움센텀 E동 206-11호 (우동)48060(주)클럽가이아20200716100358U2020-07-18 02:40:00.0<NA>394085.65979187458.456044국내여행업관광사업<NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1500000002020030620210305<NA><NA><NA>
12151216국내여행업03_12_01_P3330000CDFI226001202000000820200806<NA>1영업/정상13영업중<NA><NA><NA><NA>051-742-0770<NA><NA>부산광역시 해운대구 우동 1405 마린파크 406호부산광역시 해운대구 마린시티2로 2, 마린파크 406호 (우동)48092주식회사 예림20200806112517I2020-08-08 00:23:14.0<NA>395308.610453186564.639114국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12161217국내여행업03_12_01_P3330000CDFI226001202100000120180409<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1407 해운대두산위브더제니스 104동 214호부산광역시 해운대구 마린시티2로 33, 104동 214호 (우동, 해운대두산위브더제니스)48119(주)아리아투어20210222181139I2021-02-24 00:23:01.0<NA>395388.71507186268.853283국내여행업<NA><NA><NA><NA><NA>서울보증보험주식회사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000002020040120210331<NA><NA><NA>
12171218국내여행업03_12_01_P3330000CDFI226001202000000920201127<NA>1영업/정상13영업중<NA><NA><NA><NA>051-633-1161<NA><NA>부산광역시 해운대구 재송동 939-2 센텀이편한세상아파트 101동 2001호부산광역시 해운대구 해운대로76번길 55, 101동 2001호 (재송동, 센텀이편한세상아파트)48048(주)콜럼버스코리아20201221160950U2020-12-23 02:40:00.0<NA>392799.149932189781.150493국내여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020120120211130<NA><NA><NA>
12181219국내여행업03_12_01_P3330000CDFI226001200100000120010330<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>051-747-4446<NA>612824부산광역시 해운대구 우동 1434번지 선프라자 201부산광역시 해운대구 마린시티3로 1, 201호 (우동, 선프라자)612725(주)뉴그린여행사20111115163559I2018-08-31 23:59:59.0<NA>395615.201854186406.750871국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12191220국내여행업03_12_01_P3330000CDFI226001201300000320130308201501284취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>612862부산광역시 해운대구 좌동 1432-4번지 르네상스오피스텔 304호부산광역시 해운대구 좌동순환로249번길 11, 304호 (좌동, 르네상스오피스텔)612862(주) 밀크투어20150325162610I2018-08-31 23:59:59.0<NA>398665.261088188263.875653국내여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30000002013031520140314<NA><NA><NA>
12201221국내여행업03_12_01_P3330000CDFI226001201000000620100916201410074취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>740-6033<NA>612726부산광역시 해운대구 우동 오션타워 718호부산광역시 해운대구 해운대해변로 203, 718호 (우동, 오션타워)612726(주)비케이트래블20141226115313I2018-08-31 23:59:59.0<NA>396180.621245186522.350475국내여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>81517681<NA><NA><NA><NA><NA>
12211222국내여행업03_12_01_P3330000CDFI226001200400000120040107201410074취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>612836부산광역시 해운대구 좌동 1460-4번지 쌍용플래티넘트윈102-201호부산광역시 해운대구 양운로 82, 102동 201호 (좌동, 쌍용플래티넘트윈)612836(주) 신나라 투어20141226115517I2018-08-31 23:59:59.0<NA>398133.960402187864.096706국내여행업관광사업일반상업지역7아파트지역<NA><NA>사무실71<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA><NA><NA><NA><NA>
12221223국내여행업03_12_01_P3330000CDFI226001200400000520040310201409124취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>051-731-7191<NA>612821부산광역시 해운대구 우동 640-24번지부산광역시 해운대구 해운대로 575 (우동)612821(주)W.T.우리여행사20141226115732I2018-08-31 23:59:59.0<NA>396225.196088186827.050656국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>